A Survey on the Privacy Preserving Algorithm and techniques of Association Rule Mining
نویسندگان
چکیده
In recent years, data mining is a popular analysis tool to extract knowledge from collection of large amount of data. One of the great challenges of data mining is finding hidden patterns without revealing sensitive information. Privacy preservation data mining (PPDM) is answer to such challenges. It is a major research area for protecting sensitive data or knowledge while data mining techniques can still be applied efficiently. Association rule hiding is one of the techniques of PPDM to protect the association rules generated by association rule mining. In this paper, we provide a survey of association rule hiding methods for privacy preservation. Various algorithms have been designed for it in recent years. In this paper, we summarize them and survey current existing techniques for association rule hiding.
منابع مشابه
Introducing an algorithm for use to hide sensitive association rules through perturb technique
Due to the rapid growth of data mining technology, obtaining private data on users through this technology becomes easier. Association Rules Mining is one of the data mining techniques to extract useful patterns in the form of association rules. One of the main problems in applying this technique on databases is the disclosure of sensitive data by endangering security and privacy. Hiding the as...
متن کاملData sanitization in association rule mining based on impact factor
Data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns. It transforms the source database into a released database so that counterparts cannot discover the sensitive patterns and so data confidentiality is preserved ag...
متن کاملSurvey on Privacy Preserving Association Rule Data Mining
The progress in the development of data mining techniques achieved in the recent years is gigantic. The collative data mining techniques makes the privacy preserving an important issue. The ultimate aim of the privacy preserving data mining is to extract relevant information from large amount of data base while protecting the sensitive information. The togetherness in the information retrieval ...
متن کاملAssociation Rule Hiding for Data Mining
The best ebooks about Association Rule Hiding For Data Mining that you can get for free here by download this Association Rule Hiding For Data Mining and save to your desktop. This ebooks is under topic such as association rule hiding for data mining springer association rule hiding for data mining advances in association rule hiding knowledge and data engineering an efficient association rule ...
متن کاملA Survey on Privacy Preserving Association Rule Mining of Outsourced Databases
Data mining finds useful patterns from the large dataset. Data analysis techniques that are frequent itemset mining and association rule mining are two popular and broadly utilized for different applications. Personal or sensitive information of individuals, industries or organizations must be kept private before it is shared for the data mining. Hence privacy preserving data mining has become ...
متن کامل